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Investigation:

LC-08 (Moore / Nobre)

LBA Dataset ID:

LC08_FIRE_OBSERVATIONS

Originator(s):

1. CARDOSO, M.F.
2. HURTT, G.C.
3. MOORE, B.
      4. NOBRE, C.A.
5. BAIN, H.

Point(s) of Contact:

ORNL DAAC User Services Office Oak Ridge National Laboratory Oak Ridge, Tennessee 37 (ornldaac@ornl.gov)

Dataset Abstract:

This data set is intended to be used in applications that will enhance the interpretation of satellite-based estimates of fires for environmental studies in Amazonia.
These ground-based data were collected using a simple and passive method. Data include fires position and time, and estimates of fire size, cloud cover, wind speed, smoke color, type of vegetation burned, and visibility. The authors are in the process of relating these data to corresponding information from satellite fire products.

Beginning Date:

2002-07-12

Ending Date:

2002-07-15

Metadata Last Updated on:

2012-06-08

Data Status:

Archived

Access Constraints:

PUBLIC

Data Center URL:

http://daac.ornl.gov/

Distribution Contact(s):

ORNL DAAC User Services Office Oak Ridge National Laboratory Oak Ridge, Tennessee 37 (ornldaac@ornl.gov)

Access Instructions:

PUBLIC

Data Access:

IMPORTANT: The LBA-ECO Project website is no longer being supported. Links to external websites may be inactive. Final data products from the LBA project can be found at the ORNL DAAC. Please follow the fair use guidelines found in the dataset documentation when using or citing LBA data.
Datafile(s):

LBA-ECO LC-08 Passive Ground-based Fire Data, Para and Mato Grosso Brazil: 2001-2002 :  http://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1095

Documentation/Other Supporting Documents:

LBA-ECO LC-08 Passive Ground-based Fire Data, Para and Mato Grosso Brazil: 2001-2002 :  http://daac.ornl.gov/LBA/guides/LC08_Fire_Observations.html

Citation Information - Other Details:

M.F. Cardoso, G.C. Hurtt, B. Moore III, C.A. Nobre and H. Bain. 2012.LBA-ECO LC-08 Passive Ground-based Fire Data, Para and Mato Grosso Brazil: 2001-2002. Data set. Available on-line [http://daac.ornl.gov] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A. http://dx.doi.org/10.3334/ORNLDAAC/1095

Keywords - Theme:

Parameter Topic Term Source Sensor
FIRE CHARACTERISTICS BIOSPHERE VEGETATION FIELD INVESTIGATION HUMAN OBSERVER
FIRE OCCURRENCE BIOSPHERE VEGETATION FIELD INVESTIGATION HUMAN OBSERVER

Uncontrolled Theme Keyword(s):  BRAZIL, FIRES, VEGETATION

Keywords - Place (with associated coordinates):

Region
(click to view profile)
Site
(click to view profile)
North South East West
    -9.70000 -15.70000 -55.10000 -56.50000

Related Publication(s):

Manoel F. Cardoso, George C. Hurtt, Berrien Moore III, Carlos A. Nobre and Heather Bain Field work and statistical analyses for enhanced interpretation of satellite fire data. Remote Sensing of Environment, Volume 96, Issue 2, 30 May 2005, Pages 212-227.

Data Characteristics (Entity and Attribute Overview):

Data Characteristics:

Data includes position and time of fires and estimates of fire size, cloud cover, wind speed, smoke color, type of vegetation burned, and visibility.



File Contents and Organization:



Data are provided in a single, comma-delimited ASCII file:

File name: LC08_Ground-Based_Fire_Data_2001-2002.csv



Column Variable Variable Description

Number Name

1 Fire_ID Fire identification number

3 Date Date (mm/dd/yyyy)

3 Year Year (yyyy)

4 Month Month (mm)

5 Day Day (dd)

6 State State: Para (November 3-4, 2001) or Mato Grosso (July 12-15, 2002)

7 Time Time is in GMT (hh:mm)

8 Obs_Lat Observation position latitude

9 Obs_Lon Observation position longitude

10 Event_Lat Fire event position latitude

11 Event_Lon Fire event position longitude

12 Size Fire size class: Size is categorized as small (S, < 0.25 ha), medium (M, 0.25-1 ha), large (L, > 1ha), and unknown (U)

13 LC Land cover class: LC is the land cover on which the fire was burning, categorized as pasture = 1, woody savanna = 2, forest = 3, cropland = 4, savanna/grassland = 5, coal production/sawmill = 6, and other = 0





Example Data Records:

Fire_ID,Date,Year,Month,Day,State,Time,Obs_Lat,Obs_Lon,Event_Lat,Event_Lon,Size,LC

1,11/3/2001,2001,11,3,Para,15:33,-5.335,-49.085,-5.287,-49.132,L,0

2,11/3/2001,2001,11,3,Para,15:35,-5.304,-49.072,-5.304,-49.072,S,0

3,11/3/2001,2001,11,3,Para,15:35,-5.304,-49.072,-5.336,-49.104,S,0

4,11/3/2001,2001,11,3,Para,15:35,-5.304,-49.072,-5.336,-49.104,S,0

5,11/3/2001,2001,11,3,Para,15:35,-5.304,-49.072,-5.336,-49.104,S,0

6,11/3/2001,2001,11,3,Para,16:16,-5.104,-48.753,-5.152,-48.706,U,1

7,11/3/2001,2001,11,3,Para,16:20,-5.091,-48.719,-5.187,-48.624,U,1

8,11/3/2001,2001,11,3,Para,16:33,-5.093,-48.674,-5.093,-48.629,L,1

9,11/3/2001,2001,11,3,Para,17:29,-5.039,-48.581,-5.039,-48.581,L,1

10,11/3/2001,2001,11,3,Para,17:45,-4.984,-48.452,-4.984,-48.452,U,0

11,11/3/2001,2001,11,3,Para,18:08,-4.984,-48.452,-4.849,-48.452,S,0

12,11/3/2001,2001,11,3,Para,18:31,-4.800,-48.121,-4.736,-48.184,U,0

13,11/3/2001,2001,11,3,Para,19:09,-4.922,-48.341,-4.922,-48.368,M,2

Data Application and Derivation:

This data set is intended to be used in applications that will enhance the interpretation of satellite-based estimates of fires for environmental studies in Amazonia.

Quality Assessment (Data Quality Attribute Accuracy Report):

Quality Assessment:

Multiple methods of analyses from simple to complex produced qualitatively similar results. Total accuracies for both fire products were very high (> 99%) and dominated by accurate (> 99%) non-fire detection. Kappa statistics and fire-detection accuracies were substantially lower, with omission errors higher than commission errors. Results calculated using several different sets of spatial-matching parameters of analysis showed that Kappa was 1-10.6% for AVHRR, and 0-1.4% for MODIS. User\'s accuracy for fires was 0-40% for AVHRR and 3-100% for MODIS. Producer\'s accuracy for fires was 0-8% for AVHRR and 0-1% for MODIS. Statistical evaluations of potential explanatory factors showed that fire size and sampling time were dominant factors for low accuracies. (Cardoso, et. al. 2005)

Process Description:

Data Acquisition Materials and Methods:

These ground based data were collected in a passive method, and statistically related these data to corresponding estimates from AVHRR and MODIS fire products using error matrices. Multiple methods of analyses from simple to complex produced qualitatively similar results. Total accuracies for both fire products were very high (> 99%) and dominated by accurate (> 99%) non-fire detection. (Cardoso, et. al. 2005)

References:



Manoel F. Cardoso, George C. Hurtt, Berrien Moore III, Carlos A. Nobre and Heather Bain Field work and statistical analyses for enhanced interpretation of satellite fire data. Remote Sensing of Environment, Volume 96, Issue 2, 30 May 2005, Pages 212-227. [LBA-ECO Pub ID #600]

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